Senior Software Development Engineer, AWS Machine Learning Accelerators

Amazon • Cupertino, CA

1d

About The Position

Custom SoCs (System on Chips) are the brains behind AWS’s Machine Learning
servers. Our team builds C++ & SystemC functional models of these
custom-designed accelerator SoCs for use by AWS internal teams. We’re looking
for a Senior SoC Modeling Engineer to join the team and deliver new functional
models, infrastructure, and tooling for our customers.

As part of the ML accelerator modeling team, you will:
- Develop and own SoC functional models end-to-end, including model
architecture, integration with other model or infrastructure components,
testing, and debug
- Work closely with architecture, RTL design, design verification, emulation,
and software teams to build, debug, and deploy your models
- Innovate on the tooling you provide to customers, making it easier for them to
use our SoC models
- Drive model and modeling infrastructure performance improvements to help our
models scale
- Develop software which can be maintained, improved upon, documented, tested,
and reused

Annapurna Labs, our organization within AWS, designs and deploys some of the
largest custom silicon in the world, with many subsystems that must all be
modeled and tested with high quality. Our SoC model is a critical piece of
software used in both our SoC development process and by our partner software
teams. You’ll collaborate with many internal customers who depend on your models
to be effective themselves, and you'll work closely with these teams to push the
boundaries of how we're using modeling to build successful products.

You will thrive in this role if you:
- Are an expert in functional modeling for SoCs, ASICs, TPUs, GPUs, or CPUs
- Are comfortable modeling in C++ or SystemC, and familiar with Python
- Enjoy learning new technologies, building software at scale, moving fast, and
working closely with colleagues as part of a small team within a large
organization
- Want to jump into an ML-aligned role, or get deeper into the details of ML at
the hardware/system-level

Although we are building machine learning chips, no machine learning background
is needed for this role. This role spans modeling of the ML and management
regions of our chips, and you’ll dip your toes into both. You’ll be able to ramp
up on ML as part of this role, and any ML knowledge that’s required can be
learned on-the-job.

This role can be based in either Cupertino, CA or Austin, TX. The broader team
is split between the two sites, with a slight preference for CA, due to
colocation with more customer teams.

We're changing an industry. We're searching for individuals who are ready for
this challenge, who want to reach beyond what is possible today. Come join us
and build the future of machine learning!

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience as a mentor, tech lead or leading an engineering team

Nice To Haves

• Bachelor's degree in computer science or equivalent
• Are an expert in functional modeling for SoCs, ASICs, TPUs, GPUs, or CPUs
• Are comfortable modeling in C++ or SystemC, and familiar with Python
• Enjoy learning new technologies, building software at scale, moving fast, and working closely with colleagues as part of a small team within a large organization
• Want to jump into an ML-aligned role, or get deeper into the details of ML at the hardware/system-level

Responsibilities

• Develop and own SoC functional models end-to-end, including model architecture, integration with other model or infrastructure components, testing, and debug
• Work closely with architecture, RTL design, design verification, emulation, and software teams to build, debug, and deploy your models
• Innovate on the tooling you provide to customers, making it easier for them to use our SoC models
• Drive model and modeling infrastructure performance improvements to help our models scale
• Develop software which can be maintained, improved upon, documented, tested, and reused

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level